Supply Chain Orchestration Knowledge Expert

Position Overview

The Supply Chain Orchestration Knowledge Expert is a domain and subject matter expert responsible for developing structuring and maintaining the messaging and positioning and subsequent knowledge artifacts that power TraceLinks Agentic Orchestration Solutions (AOS) go-to-market execution field team enablement campaigns and AI-driven experiences for both the customer personas and TraceLink field teams.

Each Supply Chain Orchestration Knowledge Expert serves as the global owner of a supply chain orchestration domainsuch as Manufacturing Commerce Logistics or Transportationand builds the messaging and positioning frameworks insights and artifacts that support executive-level conversations across all relevant customer segments.

This is a unique role combining industry analysis supply chain orchestration product expertise with strategic storytelling knowledge artifact creation and curation for executive buyer experiences.

Responsibilities:

Supply Chain Orchestration Domain Expertise

• Serve as TraceLinks subject-matter expert for a specific supply chain orchestration supporting Product Marketing Demand Gen Content Sales Enablement and Sales

• Build a deep understanding of end-to-end processes personas pain points business value and the life sciences and healthcare supply chains ecosystem.

• Participate in select cross-functional teams and executive engagements as required.

Strategic Narratives Messaging and Positioning

• Develop strategic narratives messaging and positioning of TraceLink products and solutions targeting executive personas - specifically the CIO.

• Create and maintain competitive differentiation and positioning against alternative solutions.

• Continuously monitor the effectiveness of messaging through routine engagement with field teams customers and prospects.

AI and LLM Buying Experiences

• Build and maintain an LLM-ready messaging framework with modular metadata-tagged positioning and value narratives.

• Ensure taxonomy alignment and version control so messaging remains consistent current and easily ingested by the LLM.

• Curate and govern the product and industry knowledge corpus to deliver accurate compliant and authoritative model outputs.

• Design executive-ready LLM experiences using prompt patterns scenarios and value-story templates for internal enablement and external buyer interactions.

Deliverables and Key Knowledge Artifacts

• Create and maintain a standard set of knowledge artifacts that inform and drive the executive interactions field team enablement and LLM-driven experiences including but not limited to:

  • Domain Messaging & Positioning Playbook capturing value pillars executive narratives persona messaging and competitive differentiation.

  • LLM-Ready Messaging Framework & Metadata Schema defining modular message objects taxonomies and canonical terminology for model ingestion.

  • Curated Knowledge Corpus Library including process maps capability descriptions deal reviews win stories case studies industry insights and glossary of terms.

  • Executive Buyer Narrative Decks tailored for CIO COO and VP-level personas with business cases ROI framing and transformation stories.

  • Competitive Landscape & Differentiation Dossiers analyzing alternative solutions with scenario-based differentiation and objection-handling modules.

  • LLM Prompt Patterns Conversation Flows and Experience Blueprints enabling consistent high-credibility internal and external AI-driven interactions.

  • Field Enablement Knowledge Packs providing talk tracks use-case stories objection handling value frameworks and LLM-powered microlearning assets.

Skills and Qualifications

• 3 - 5 years in a product management product marketing solution consulting or analyst roles with a specific focus on life sciences manufacturing logistics and/or adjacent roles.

• Exceptional writing and presentation skills especially for senior executive audiences.

• Ability to create clear structured narratives from ambiguous or highly technical information.

• Experience producing content such as briefs whitepapers frameworks or strategic analyses.

• Ability to develop insights messaging positioning and competitive analyses that support commercial teams.

• Familiarity with large language models (LLMs) conversational AI or retrieval-augmented systems.

• Experience in structuring and tagging content for AI/ML consumption is a plus.

• Ability to work cross-functionally with Product Marketing Sales Solution Consulting Value Engineering and Services teams.

Education: Bachelors degree or equivalent professional experience required.

Travel: Ability to travel up to 25-40% as required by business needs.